Senior LLM Integration Engineer (3+ Years)

Job Title:

Type:

About the Role

highly motivated and detail-oriented LLM-Python Developer

Large Language Models (LLMs)

Key Responsibilities

• Develop, maintain, and optimize

  Python applications, services, and modules

  leveraging

  LLMs

  and related

  AI/NLP technologies

  .
• Collaborate with

  AI/ML engineers, data scientists, and backend developers

  to integrate LLMs into production workflows.
• Write

  clean, efficient, and modular Python code

  , ensuring maintainability and scalability.
• Implement

  unit tests

  , review peer code, and maintain high

  code quality standards

  .
• Assist in

  deploying and monitoring

  LLM-based features; troubleshoot issues and enhance performance, reliability, and latency.
• Prepare and maintain

  comprehensive documentation

  for APIs, integrations, models, and dependencies.
• Work independently in a

  remote environment

  , managing priorities, timelines, and deliverables efficiently.

Required Skills & Experience

• Minimum

  2+ years

  of professional software development experience.

• Strong proficiency in Python

  — experience in building production-grade software, APIs, or backend services.
• Understanding or hands-on experience with

  LLMs, NLP models

  , or

  AI frameworks

  .
• Solid foundation in

  version control (Git)

  ,

  modular programming

  ,

  unit testing

  , and

  code documentation

  .
• Excellent

  communication and collaboration skills

  for remote teamwork.

Nice to Have (Preferred Skills)

• Experience with

  LLM frameworks or libraries

  such as

  Hugging Face Transformers, LangChain, or OpenAI APIs

  .
• Familiarity with

  cloud deployment (AWS, Azure, GCP)

  ,

  containers (Docker)

  , or

  serverless environments

  .
• Knowledge of

  vector embeddings

  ,

  Retrieval-Augmented Generation (RAG)

  pipelines, or

  semantic search

  implementations.
• Exposure to

  API development

  (REST/GraphQL) and

  microservice architecture

  .